Cloud computing system and method

ABSTRACT

A system and method deploying cloud computing software applications and resources to mobile devices is disclosed. The system/method virtualizes the graphical user experience (GEX) and user input experience (UEX) that comprise the graphical user interface (GUI) for host application software (HAS) running on a host computer system (HCS). The virtualized GUI (VUI) GEX component is converted to a remote video stream (RVS) and communicated to a remote mobile computing device (MCD) over a computer communication network (CCN). A MCD thin client application (TCA) receives the RVS and presents this GEX content on the MCD display using a graphics experience mapper (GEM). A TCA user experience mapper (UEM) translates MCD user inputs to a form suitable for UEX protocols and communicates this user input over the CCN to the HCS for translation by the UEX into HCS operating system protocols compatible with the HAS.

CROSS REFERENCE TO RELATED APPLICATIONS Continuation Patent Application (CPA)

This is a Continuation Patent Application (CPA) of and incorporates by reference United States Utility patent application for CLOUD COMPUTING SYSTEM AND METHOD by inventors Joseph Scott Morton, Christopher Michael McDonald, and Glenn Donald Knepp, filed electronically with the USPTO on Mar. 9, 2015, with Ser. No. 14/642,639, EFS ID 21718675, confirmation number 1436, docket AZGAZ.0101, and issued as U.S. Pat. No. 9,197,697 on Nov. 24, 2015.

U.S. UTILITY PATENT APPLICATIONS

This application claims benefit under 35 U.S.C. §120 and incorporates by reference United States Utility patent application for CLOUD COMPUTING SYSTEM AND METHOD by inventors Joseph Scott Morton, Christopher Michael McDonald, and Glenn Donald Knepp, filed electronically with the USPTO on Mar. 9, 2015, with Ser. No. 14/642,639, EFS ID 21718675, confirmation number 1436, docket AZGAZ.0101.

U.S. PROVISIONAL PATENT APPLICATIONS

This application claims benefit under 35 U.S.C. §119 and incorporates by reference United States Provisional patent application for CLOUD COMPUTING SYSTEM AND METHOD by inventors Joseph Scott Morton, Christopher Michael McDonald, and Glenn Donald Knepp, filed electronically with the USPTO on Mar. 10, 2014, with Ser. No. 61/950,289, EFS ID 18414620, confirmation number 2283, docket AZGAZ.0101P.

PARTIAL WAIVER OF COPYRIGHT

All of the material in this patent application is subject to copyright protection under the copyright laws of the United States and of other countries. As of the first effective filing date of the present application, this material is protected as unpublished material.

However, permission to copy this material is hereby granted to the extent that the copyright owner has no objection to the facsimile reproduction by anyone of the patent documentation or patent disclosure, as it appears in the United States Patent and Trademark Office patent file or records, but otherwise reserves all copyright rights whatsoever.

STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT

Not Applicable

REFERENCE TO A MICROFICHE APPENDIX

Not Applicable

FIELD OF THE INVENTION

The present invention generally relates to cloud computing systems and methods for deploying host computer system (HCS) software applications to a mobile computing device (MCD). More specifically and without limitation the present invention permits virtualizing enterprise-class software applications to MCD environments via the use of a thin-client MCD software application in contexts where the computer communication network (CCN) linking the HCS and MCD is of low bandwidth and/or the MCD is of limited processing power.

PRIOR ART AND BACKGROUND OF THE INVENTION Prior Art

The deployment of cloud computing services typically involves the presentation of host application software (HAS) by a host computer system (HCS) to a remote computing device (RCD) which may be in some circumstances a mobile computing device (MCD) such as a computer tablet or smartphone. The deployment of software applications to the RCD/MCD platform can be problematic for several reasons including:

-   -   The MCD may have insufficient resources to run the HAS.     -   The MCD may have insufficient processing power to run the HAS.     -   The MCD may have insufficient communication bandwidth to provide         responsive access to the HAS.     -   The MCD may not have hardware compatible with the HCS operating         environment (missing keyboard, mouse, or other user input         device).         All of these issues may result in a poor user experience with         the HCS/HAS combination and in many circumstances prevent the         HAS from being capable of deployment in a MCD environment.

The typical approaches to HAS deployment to remote computing devices includes the use of a web browser interface on the HCS as an access portal to the HAS or the use of a virtual private network (VPN) that links the MCD to the HCS over a secure network interface. Both of these approaches suffer from significant performance limitations in that they require a large communication overhead between the HCS and MCD to maintain a real-time view of the display screen that is simulated by the HCS for the purposes of providing a virtualized display for the HAS. MCDs having limited processing power or limited communication bandwidth to the HCS suffer in these circumstances because these limitations result in poor application responsiveness and a resulting poor user experience.

Additionally, the large communication overhead associated with VPN methodologies (especially in situations where the video display experiences a high rate of change or where user input such as keyboard or mouse input is common) results in higher communication costs for MCDs using this form of interface. High frame rate updates by a typical VPN remote console simulator often result in very high communication link bandwidth utilization between the HCS and MCD and cannot be supported in situations where the communication link bandwidth is limited. All of these drawbacks may be cost/performance prohibitive in situations where the end user has limited financial and hardware means.

Deficiencies in the Prior Art

The prior art as detailed above suffers from the following deficiencies:

-   -   Prior art cloud computing systems and methods typically require         a minimum CCN bandwidth to virtualize the HSC environment on the         mobile device.     -   Prior art cloud computing systems and methods typically lack         responsiveness in situations where the CCN bandwidth is limited.     -   Prior art cloud computing systems and methods typically consume         considerable CCN bandwidth in virtualizing the HSC environment         to the mobile device.     -   Prior art cloud computing systems and methods typically lack         responsiveness in situations where the MCD processing power is         limited.     -   Prior art cloud computing systems and methods typically require         significant software application development to occur on the MCD         to support the virtualized HCS environment.     -   Prior art cloud computing systems and methods typically have         difficulty in maintaining security for virtualized HCS         environments supported by MCD hardware.     -   Prior art cloud computing systems and methods require the use of         a virtual private network (VPN) to maintain security between the         HCS and MCD.     -   Prior art cloud computing systems and methods typically have         difficulty in porting the visual content of the HSC application         to the MCD display environment.

While some of the prior art may teach some solutions to several of these problems, the core deficiencies in the prior art systems have not been addressed.

OBJECTIVES OF THE INVENTION

Accordingly, the objectives of the present invention are (among others) to circumvent the deficiencies in the prior art and affect the following objectives:

-   -   (1) Provide for a cloud computing system and method that         requires minimum CCN bandwidth to virtualize the HSC environment         on the mobile device.     -   (2) Provide for a cloud computing system and method that         provides user responsiveness in situations where the CCN         bandwidth is limited.     -   (3) Provide for a cloud computing system and method that         consumes minimal CCN bandwidth in virtualizing the HSC         environment to the mobile device.     -   (4) Provide for a cloud computing system and method that is         responsive in situations where the MCD processing power is         limited.     -   (5) Provide for a cloud computing system and method that         requires minimum software application development to occur on         the MCD to support the virtualized HCS environment.     -   (6) Provide for a cloud computing system and method that         maintains security for virtualized HCS environments supported by         MCD hardware.     -   (7) Provide for a cloud computing system and method that does         not require the use of a virtual private network (VPN) to         maintain security between the HCS and MCD.     -   (8) Provide for a cloud computing system and method that         seamlessly ports the visual content of the HSC application to         the MCD display environment.

While these objectives should not be understood to limit the teachings of the present invention, in general these objectives are achieved in part or in whole by the disclosed invention that is discussed in the following sections. One skilled in the art will no doubt be able to select aspects of the present invention as disclosed to affect any combination of the objectives described above.

BRIEF SUMMARY OF THE INVENTION

The present invention supports the deployment of cloud computing host software applications (HAS) and content to a mobile computing device (MCD) from a host computer system (HCS) over a computer communication network (CCN). In an exemplary invention system embodiment the HCS is configured with conventional host operating system software (HOS) that supports execution of the HAS. This HOS is equipped with a virtualized graphical user interface (VUI) device driver that is configured to virtualize the graphical user experience (GEX) and user input experience (UEX) associated with the HAS as it is executed on the HCS. The VUI permits the HAS to operate transparently on the HCS and appear as if it is operating in a standalone computer environment.

The VUI is configured to translate the GEX into a remote video stream (RVS). This RVS may be contained in one or more compressed video formats to minimize the effective bandwidth of transmitting this application display image. The HCS is configured to transmit the RVS to the MCD over the CCN. The MCD further comprises a thin client application (TCA) that implements a graphics experience mapper (GEM) and user experience mapper (UEM). The GEM is configured to receive the RVS and present the RVS to a display on the MCD. Simultaneously, the UEM is configured to accept user input data (UID) entered on the MCD and translate the UID to an equivalent UEX protocol. This equivalent UEX protocol is then transmitted by the TCA to the VUI for presentation to the HAS through the HCS. In this manner, the user input capabilities of the MCD are mapped to equivalent UEX protocols that are understood by the HAS.

By utilizing streamed video rather than transmitting display images frame-by-frame from the HCS to the MCD, the bandwidth requirements for hosting the HAS on the MCD are drastically reduced, as the HCS can implement the HAS locally and merely provide a thin-client audio/video/keyboard/mouse interface to the MCD via translation services performed by the VUI (GEX,UEX) and TCA (GEM,UEM).

BRIEF DESCRIPTION OF THE DRAWINGS

For a fuller understanding of the advantages provided by the invention, reference should be made to the following detailed description together with the accompanying drawings wherein:

FIG. 1 illustrates an overview block diagram depicting a preferred exemplary invention system embodiment;

FIG. 2 illustrates an overview flowchart depicting a preferred exemplary invention method embodiment;

FIG. 3 illustrates a detail block diagram depicting a preferred exemplary invention system embodiment;

FIG. 4 illustrates a detail flowchart depicting a preferred exemplary invention method embodiment;

FIG. 5 illustrates a variety of exemplary TCA components that may operate in various embodiments of the present invention;

FIG. 6 illustrates the use of steganographic data encapsulation within the video stream transmitted to the MCD;

FIG. 7 illustrates an exemplary invention embodiment data flow diagram depicting user experience mapper (UEM) coordination on the MCD with user input experience translation (UEX) on the HCS;

FIG. 8 illustrates an exemplary invention embodiment as applied to AMAZON® APPSTREAM SERVICES;

FIG. 9 illustrates an overview system block diagram of a presently preferred invention system embodiment employing a custom host server (CHS) hardware platform incorporating multicore processors;

FIG. 10 illustrates an overview system block diagram of a presently preferred invention system embodiment employing a custom host server (CHS) hardware platform incorporating multicore processors illustrating overall data flows;

FIG. 11 illustrates a detail system block diagram of a presently preferred invention system embodiment employing host machines incorporating multicore processors;

FIG. 12 illustrates a detail system block diagram of a presently preferred invention system embodiment employing virtual machines incorporating control and dispatch to multicore parallel processors.

DESCRIPTION OF THE PRESENTLY PREFERRED EXEMPLARY EMBODIMENTS

While this invention is susceptible of embodiment in many different forms, there is shown in the drawings and will herein be described in detailed preferred embodiments of the invention with the understanding that the present disclosure is to be considered as an exemplification of the principles of the invention and is not intended to limit the broad aspect of the invention to the embodiment illustrated.

The numerous innovative teachings of the present application will be described with particular reference to the presently preferred embodiment, wherein these innovative teachings are advantageously applied to the particular problems of a CLOUD COMPUTING SYSTEM AND METHOD. However, it should be understood that this embodiment is only one example of the many advantageous uses of the innovative teachings herein. In general, statements made in the specification of the present application do not necessarily limit any of the various claimed inventions. Moreover, some statements may apply to some inventive features but not to others.

Remote Video Stream Not Limitive

The present invention anticipates that a wide variety of remote video streaming formats may be used to implement the video streaming component of the present invention. Without limitation, the RVS may include audio and/or video formats including but not limited to: MPEG; MPEG-2; MPEG-4; H.264; THEORA; WEBM; DIRAC; REALVIDEO; VP8; and HEVC.

Host Computer System HOS Not Limitive

The present invention anticipates that a wide variety of host computer system and host operating system software (HOS) may be used to implement the present invention. Without limitation, the HOS may include MICROSOFT® WINDOWS®; MAC®; and LINUX® operating system products.

General Concept

The present invention has as a general objective to use cloud technologies to deliver the latest software solutions to any Internet enabled devices. The disclosed invention provides a complete desktop experience to mobile computing devices (MCDs) such as inexpensive pen and touch devices. Various invention embodiments, for example, would permit any WINDOWS®, MAC®, or LINUX® software application running on a host computer to effectively operate on a $50 ANDROID® tablet.

The present invention operates to lower the effective cost of deploying cloud computing solutions. The present invention leverages cloud computing to put the power of an expensive laptop into the hands of individuals unable to afford the tools necessary to support traditional cloud computing resources. The present invention allows for an individual in any underdeveloped nation with a cellphone Internet connection and inexpensive tablet computer to have the same software tools available to any person in a developed nation.

This objective is achieved by changing the way in which software is deployed to mobile devices. Rather than executing host software applications (HASs) on the mobile computing device (MCD), these applications are executed on cloud host computer systems (HCSs). The presentation displays for these HASs operating on the HCSs are then streamed as video to the MCD. This allows the HSC to perform the heavy processing associated with the HAS and simultaneously minimize the communication bandwidth necessary to support a virtualized display to the MCD. User input from the MCD is translated into native HCS user input protocols and transparently entered into the HAS.

This approach to distributing HASs on MCDs has several advantages, including:

-   -   Remote users need only support inexpensive MCD hardware to have         access to powerful HASs resident on the HCS.     -   HAS software can be automatically updated in a central HCS         rather than require deployment to a plethora of remote MCDs.     -   HAS software licensing can be leveraged to only support the         maximum number of ACTIVE MCDs rather than licenses to all         EXISTING MCDs.     -   Software licensing fees associated with virtual operating         systems and virtualized desktops are eliminated.     -   The remote MCD need not have extensive hardware capability, just         the capability of displaying video. All processing, memory, and         storage requirements are provided by the HCS.     -   The user experience on the MCD directly maps that which would be         experienced on a local HCS.     -   The processing and communications overhead associated with         virtual desktops is eliminated (no 30 Hz/60 Hz refresh overhead         associated with many virtualized desktops).     -   User files are stored on the HCS and are not lost if the MCD is         damaged, lost, or stolen.         One skilled in the art will recognize that this list is only         exemplary and non-exhaustive.

System Overview (0100)

The general invention concept may be better understood by inspecting the system overview block diagram depicted in FIG. 1 (0100). In this exemplary system embodiment, a host computing context (0110) is connected with a mobile computing context (0120) via the use of a computer communication network (CCN) (0101). In each context (0110, 0120) there are corresponding computing devices such as a host computer system (0111) and mobile computing device (0121) each executing machine instructions read from computer readable media (0112, 0122).

Within the host computer context (0110), host application software (0113) is retrieved from a software database (SDB) (0119) and typically run under control of a host operating system (HOS) (0114) executed within the context of the host computer system (HCS) (0111). This HAS (0123) has both display (0116) and user input (0117) interfaces to the HOS (0114).

The present invention translates the display data (0116) component of the HAS (0113) output to a video stream (0102) that is communicated over the CCN (0101) to the MCD display (0123) under control of a thin client application running on the MCD (0121). The advantage of this approach to cloud computing application deployment is the ability to minimize the hardware needed on the MCD (0121) to run a software application and also minimize the CCN (0101) network bandwidth necessary to support the application remotely. By converting the display data (0116) to streaming video, the use of advanced video compression technologies can be used to reduce the necessary bandwidth to support the MCD video display (0123) of the HAS (0113) display content (0115).

The HAS (0113) user input (0117) is handled by the MCD (0121) via the use of user inputs (0124) received on the MCD (0121) and relayed via the CCN (0101) to the user input (0117) portion of the HOS (0114) running on the HCS (0111). The MCD user input (0124) is then passed through an emulator (0103) to convert MCD user input (0124) into user input information (0117) compatible with both the HOS (0114) and the HAS (0113).

Note that this approach to application deployment is also efficient with respect to software installation and maintenance in that the SDB (0119) may serve as a central repository for all software to be deployed to a plethora of remotely connected MCD (0121) systems. Additionally licensing for the software contained in the SDB (0119) may be purchased based on simultaneous use rather than on a per-MCD installation basis, thus reducing the overall cost of deploying software to MCDs that may not necessarily make simultaneous use of the software.

Method Overview (0200)

An exemplary present invention method can be generally described in the flowchart of FIG. 2 (0200) as incorporating the following steps:

-   -   (1) Collecting host application software (HAS) host video         display (HVD) information as presented on host computer system         (HCS) (0201);     -   (2) Converting the HVD data to a remote real-time video stream         (RVS) (0202);     -   (3) Transmitting the RVS to a remote mobile computing         device (MCD) over a computer communication network (CCN) (0203);     -   (4) Display the RVS on the MCD display screen (0204);     -   (5) Collecting user input from the MCD (0205);     -   (6) Translating the MCD user input to a HAS-compatible user         input protocol (0206);     -   (7) Emulating the MCD user input to the HAS using translated         HAS-compatible user input protocols (0207); and     -   (8) Emulating API message protocols for user input devices on         the HCS using the translated UID as the emulator source input         (0208).

This general method may be modified heavily depending on a number of factors, with rearrangement and/or addition/deletion of steps anticipated by the scope of the present invention. Integration of this and other preferred exemplary embodiment methods in conjunction with a variety of preferred exemplary embodiment systems described herein is anticipated by the overall scope of the present invention.

System Detail Overview (0300)

Additional detail regarding operation of a preferred invention embodiment may be found by inspecting the block diagram depicted in FIG. 3 (0300). In this exemplary system embodiment the host computer system (HCS) (0311) executing software read from a computer readable medium (0312) operates under control of a host operating system (HOS) (0313) to retrieve and execute application software (0314) from a software database (0319). This application software (0315) as it operates under control of the HOS (0313) interacts with a virtualized software application I/O interface (0315) that mimics the hardware interfaces associated with a normal display monitor and keyboard/mouse input via the use of virtualized user display (VUD) (0316) and virtualized user input (VUI) (0317) device driver modules.

The VUI device driver (0316) is responsible for converting standard GUI display commands (such as window displays, character output, graphic output, and the like) into a compressed video communication (CVC) video stream that is transmitted over a communication network (0301) to mobile user device (MCD) (0321) executing software read from a computer readable medium (0322) and implementing a thin client application (TCA) (0323) responsible for mimicking a HCS (0311) user experience within the context of the MCD (0321). The TCA (0323) comprises a CVC display (0324) component responsible for converting the VUD (0315) output to the display of the MCD (0321). The use of CVC communication between the HCS (0311) and MCD (0321) may in some embodiments permit standard MPEG or other video decoders to be used in this display capacity.

Integration of user input to the HAS (0314) is accomplished by use of a user input module (0325) component that operates with the TCA (0323) to collect a variety of user input (e.g., keypad entries, hand gestures, simulated mouse gestures, etc.) from the MCD (0321) and translate these to compatible user inputs for the VUI (0317) that are then translated to appropriate HOS (0313) inputs and passed to the HAS (0314) for processing by the application software.

Method Detail Overview (0400)

An exemplary present invention detailed method can be generally described in the flowchart of FIG. 4 (0400) as incorporating the following steps:

-   -   (1) Virtualizing the graphics output (GEX) and user inputs (UEX)         for host application software (HAS) on a host computer system         (HCS) running a host operating system (HOS) (0401);     -   (2) Converting the virtualized graphics output for the HAS to a         remote real-time video stream (RVS) (0402);

(3) Transmitting the RVS to a mobile communication device (MCD) over a computer communication network (CCN) (0403);

(4) Translating the RVS into a visual display presented on the MCD (0404);

(5) Asynchronously obtaining user input data (UID) from the MCD (0405);

(6) Translating the UID into a compatible UEX protocol (0406);

-   -   (7) Transmitting the translated UID to the UEX processor on the         HCS (0407); and     -   (8) Emulating API message protocols for user input devices on         the HCS using the translated UID as the emulator source input         (0408).

This general method may be modified heavily depending on a number of factors, with rearrangement and/or addition/deletion of steps anticipated by the scope of the present invention. Integration of this and other preferred exemplary embodiment methods in conjunction with a variety of preferred exemplary embodiment systems described herein is anticipated by the overall scope of the present invention.

TCA Modules (0500)

The MCD TCA may incorporate a number of subfunction modules as depicted generally in FIG. 5 (0500). These modules may include but are not limited to any of the following:

-   -   Graphics Experience Mapper (GEM). Generally responsible for         receiving the video stream from the GEX component of the VUI         virtualizer and presenting this visual information to the MCD         display.     -   User Experience Mapper (UEM). Generally responsible for         receiving keyboard/mouse/tablet user input entered on the MCD         and translating this information into a standardized format that         is interpreted by the UEX component of the VUI virtualizer.     -   Video Window Control (VWC). Generally responsible for setting         the viewport into the virtualized video stream presented on         the MCD. Since the MCD may have a smaller screen size than that         supported by the HCS, the VWC permits the MCD user to zoom/pan         across a wider display space to achieve a readable screen.     -   Steganographic Encryption (VSE). This TCA component may be used         to interpret steganography information embedded within the video         stream to support secure data communication between the HCS         and MCD. Note that since this information is interpreted in view         of the compressed video image, tapping the communication link         between the HCS and MCD will be ineffective in interpreting this         information.     -   User Gesture Mapper (UGM). This TCA component maps user gestures         or other user inputs associated with the MCD to user-defined or         pre-defined actions by the UEX virtualization component of the         VUI. Note that this component may inspect information associated         with a touch screen on the MCD but may also include captured         video, captured audio, or other user inputs that are not         formally associated with a keyboard and/or         mouse/trackball/touchpad.     -   User Mouse Simulator (UMS). This TCA component simulates the         functionality of a mouse/trackball/touchpad to support cursor         displays and input associated with these types of devices. In         many circumstances this component may comprise advanced features         to minimize the communication bandwidth required by the CCN to         support the HCS/MCD connection. For example, the UMS may         incorporate mouse trajectory tracking to determine the arcuate         trajectory of a local mouse movement and translate this to         trajectory curve information that is transmitted to the UEX         rather than streaming individual pixel locations to the UEX         interface. This can dramatically reduce the bandwidth required         by the CCN to support the remote application context of the HCS.     -   GEX/UEX Synchronization. This TCA component is responsible for         ensuring that the GEM/UEM modules are properly synchronized with         the GEX/UEX interfaces operating on the HCS. Because the CCN may         operate in a variety of degraded modes, the HCS/MCD         communication may become unstable or disconnected due to         intermittent CCN failure. The GEX/UEX synchronization module         ensures that the GEM and UEM correspond to a consistent state of         the GEX/UEX VUI virtualization context.

One skilled in the art will recognize that this list of TCA features is illustrative and not limitive of the present invention.

Steganographic Encryption (0600)

As depicted in FIG. 6 (0600), the present invention anticipates that some preferred embodiments may incorporate steganographic encryption within the video stream transmitted between the HCS and MCD. This use of steganographic encryption may form the basis for a secure web browser interface that provides an added layer of security on top of that provided by conventional web browser services.

Steganography is the art or practice of concealing a message, image, or file within another message, image, or file. The advantage of steganography over cryptography alone is that the intended secret message does not attract attention to itself as an object of scrutiny. Plainly visible encrypted messages—no matter how unbreakable—will arouse interest, and may in themselves be incriminating in countries where encryption is illegal. Thus, whereas cryptography is the practice of protecting the contents of a message alone, steganography is concerned with concealing the fact that a secret message is being sent, as well as concealing the contents of the message.

Steganography includes the concealment of information within computer files. In digital steganography, electronic communications may include steganographic coding inside of a transport layer, such as a document file, image file, program or protocol. Media files are ideal for steganographic transmission because of their large size. For example, a sender might start with an innocuous image file and adjust the color of every 100th pixel to correspond to a letter in the alphabet, a change so subtle that someone not specifically looking for it is unlikely to notice it.

The present invention anticipates the use of steganography in conjunction with encryption to permit the merging of both GEX display data (0611) and source data files (0612) within an encryption process (0613) operating in the HCS context (0610) to form a merged video data stream comprising both an encrypted video stream as well as an optional embedded key. This merged video information is then input to a video encoder (e.g., MPEG encoder) and transmitted via the CCN (0601) to a video decoder (0624) operating in the MCD context (0620). The video decoder (0624) regenerates the video stream and this video stream is then run through a steganographic decryption process (0623) that extracts the GEM display data (0621) and optional target data (0622). The fact that the video encoder (0614) and video decoder (0624) may implement lossy compression/decompression may be used in this process to hide the encryption keys associated with the data transfer and make the decryption of the combined source data and GEX display even more difficult for attacks that rely on tapping the CCN communication link.

Within this context a key generator (0625) may be populated by MCD user inputs from the UEM or GEM modules and be used to populate a key sequencer (0615) that is the basis of the original encryption process (0613). It is significant to note that this process is capable of supporting a number of secure data subchannels within the video stream and thus simultaneously support a number of GEX/GEM displays (0611, 0621) and/or source/target databases (0612, 0622).

UEX/UEM Translation/Mapping (0700) Overview

The present invention anticipates that there may be a physical disconnect between the hardware provided by the MCD and that associated with the host application software

(HAS). For example, the HAS may be configured to run in a personal computer (PC) environment and expect the availability of a conventional QWERTY keyboard and mouse/trackball/touchpad as standard user input devices, whereas the MCD may not support a keyboard or mouse but only a touchscreen display. The present invention permits the MCD to provide input to the HAS by means of a combination of a user experience mapper (UEM) and user input experience translator (UEX).

Exemplary Tablet Computer Mapping

An example of this situation is depicted in FIG. 7 (0700), wherein the HCS context (0710) and MCD operational context (0720) are linked via a computer communication network (CCN) (0701). Within this context the MCD display (0721) is linked to the HCS operational context (0710) via a thin client application (TCA) (0722) that controls both a graphics experience manager (0723) responsible for presentation of information on the MCD display (0721) and a user experience mapper (0724) responsible for gathering user inputs to the MCD and presenting them properly to the HCS context (0710).

The MCD operational context (0720) and specifically the MCD display (0721) are scanned for a variety of user input function types, such as hand gestures, simulated keyboard screen inputs, screen touches corresponding to mapped regions of video, a simulated mouse input and/or movement (including mouse clicks and button activations), and cursor trajectory information. This information is packetized by the user experience mapper (UEM) (0724) in a standardized application-agnostic format and sent as a UEM command (0725) by the TCA (0722) via the CCN (0701) to the HCS (0711). The HCS (0711) relays the UEM command (0725) to the UEX translator (0712) that translates the generic UEM command (0725) into an operating system specific emulated API message (0713) that is then relayed via internal operating system message queues to the host application software (HAS) (0714).

Exemplary Mapping Functions

While a wide variety of UEM functions are anticipated as within the scope of the present invention, several are preferred and listed below:

-   -   Hand Gestures. Hand gestures may be mapped to a variety of         function keys. For example, “swiping” an application screen         image may map to an “ALT-TAB” WINDOWS® keyboard message that         would translate into a “display next active application window”         message being processed by the HCS (0711) and associated         operating system software. As depicted in this example, UEM         (0724) operation may include the mapping of HAS (0714) keys that         include operating system functionality.     -   Screen Keyboard Emulation. A keyboard (possibly including a         QWERTY keyboard or some other form of simulated keyboard) may be         displayed on the MCD (0721) and keys mapped to this display used         as the encoding of the UEM mapping (0724) and/or UEM command         (0725).     -   Video Key Mapping. Areas of the MCD display (0721) that are         either related to or disconnected from the HAS (0714) may be         identified within the UEM (0724) and trigger one or more         equivalent characters to be transmitted to the HAS (0714) as an         emulated API message (0713). Note that since the MCD display         (0721) is mapped using a video image rather than a rasterized         image as normally presented by the HAS (0714), the UEM (0724)         must coordinate with the GEM (0723) to enable the translation         from video to raster coordinates.     -   Simulated Mouse. The UEM (0724) may incorporate logic to         simulate a computer mouse (including display cursor or other         visual indicia) as well as key/button input and scrolling inputs         normally associated with computer mouse functionality.     -   Cursor Trajectory. In conjunction with the mouse simulation         detailed above, the UEM (0724) may incorporate “cursor         trajectory” that locally simulates the movement of the mouse         cursor on the display but only transmit trajectory information         on the mouse movement to the UEX translator (0712) to minimize         the data traffic through the CCN (0701).         One skilled in the art will realize that this list is         illustrative and does not limit the invention scope.

Exemplary Embodiment AMAZON® Web Services (0800) Background

The present invention may also be applied in the context of AMAZON® Web Services (AWS) infrastructure. AMAZON® AppStream's STX Protocol manages streaming a computer application from AMAZON® Web Services (AWS) to local client devices. It monitors network conditions and automatically adapts the video stream to provide a low latency and high-resolution experience to users. It minimizes latency while synchronizing audio and video as well as interactively capturing input from users to be sent back to the application running in AWS.

AMAZON® AppStream deploys streaming-enabled applications on an AMAZON® EC2 instance. A streaming application can be added through the AWS Management Console, where the service creates an AMAZON® Machine Image (AMI) required to host the application and makes the application available to devices running streaming clients. The service scales the application as needed within the capacity limits that have been set to meet demand.

The AMAZON® team developed an AppStream software development kit (SDK) for integrating streaming applications into AMAZON®'s Web Services. AMAZON®'s AppStream SDK simplifies the development of interactive streaming applications and client applications. The SDK provides Application Programming Interfaces (APIs) that connect devices directly to an application. It captures and encodes audio and video, streams content across the Internet in near real-time, decodes content on client devices, and returns user input to the application.

AMAZON® has built their AppStream SDK in a native C programming language. It provides C header files and libraries that provide the functionality needed to stream an application from AMAZON® AppStream as well as receive the streamed content from the server application in a client application.

The AppStream SDK currently limits software developers to using the C language for new development or forces design challenges when utilizing other programming languages such as Microsoft C# .NET or VB.NET. When designing applications that have a graphically intensive user interface like games, it is often necessary to use a low level programming language to better manage device resources and increase performance. The SDK provides methods for creating server applications and lightweight client applications that work in conjunction with one another. For an application to function properly, it is necessary to have a server application and a client application communicating where the client application interacts with the video and audio stream that is being streamed from a server application.

The AWS AppStream application provisioning methods are extremely laborious and time intensive. It requires an in-depth knowledge of cloud computing and specific knowledge of AMAZON®'s AWS platform to provision an account for streaming applications from AWS. The learning curve is very large for an average developer when committing to streaming their application using AMAZON®'s AppStream. A heavy burden lies with either IT personnel or software developers to get applications streaming on AWS utilizing a non-intuitive web interface.

One major obstacle that currently exists with the AMAZON®'s AppStream concept is the fact that there is no built-in automation for provisioning a single or multiple applications to the AWS cloud. A second major obstacle with AMAZON® AppStream is that there are no Integrated Development Environment templates or plug-ins to assist a developer with rapid application development. A third major obstacle revolves around the requirement for the use of Java wrappers within the SDK when connecting to an entitlement service. A template for other programming languages currently does not exist within the AMAZON® AppStream SDK that provides connectivity the REST API of the AMAZON® AppStream service.

Present Invention Solution

To bridge the gap between AMAZON®'s AppStream native C API's and the .NET Framework for application development, the present invention in some preferred embodiments as depicted in FIG. 8 (0800) builds a wrapper that provides interface access to AppStream API resources from within another programming language such as C# or VB. The wrapper includes interfaces from the native C environment to a Microsoft .NET managed environment using a C++/CLI wrapping technique creating a managed dynamically linked library that may be used as a reference from within a C# application. In addition to the C++/CLI library, a visual studio plug-in is designed and developed to provide .NET desktop application developers a set of tools, templates and a framework to automate the building of a streaming application using the Microsoft .NET Framework. This will increase productivity and reduce the amount of time in a development lifecycle.

To bridge the gap between AppStream application development and provisioning an AppStream application in the AWS cloud, automation is implemented in this invention embodiment. Automation is implemented using web service connections to the AMAZON® Web Services platform from within a control application that shares information within an integrated development environment.

AMAZON®'s AppStream application provisioning currently requires that an application use a single executable (.exe) file that does not require user interaction that is installed on an AMAZON® EC2 instance in silent or unattended mode. Part of the automation may occur within the setup routines that allow information to be shared with the auto provisioning application that will allow a developer to design a streaming application, create an appropriate installer, and build the provisioning connections.

AMAZON® AppStream application provisioning currently requires a software developer to build an entitlement service for authentication. An entitlement service authenticates and authorizes users between a light weight client and an AppStream server application, ensuring that only those clients entitled to access the application do so. The entitlement service can authenticate users in a variety of ways:

-   -   by comparing user login credentials to a list of subscribers in         a database,     -   by using an external login service, or     -   by authenticating all clients.         The current AppStream SDK only contains Java wrappers for the         (Representational State Transfer) REST API of the AMAZON®         AppStream service. The wrapper classes handle the overhead of         signing requests to the REST API and provide functions that an         entitlement service can call in order to create new client         sessions.

To bridge the gap between the AppStream application and authentication, an entitlement service is automated within an Integrated Development Environment such that it will expose a template that can be utilized with an AppStream application. The entitlement service sends HTTP requests directly to the AMAZON® AppStream REST API using a .NET Framework programming language.

Exemplary N-Multicore CPU Embodiment (0900)-(1200)

An exemplary N-multicore CPU embodiment of the present invention is depicted in FIG. 9 (0900)-FIG. 12 (1200) and will now be discussed in more detail.

Server Cores and Data Plane Cores Not Limitive

The present invention anticipates a wide variety of server CPU cores and Data Plane cores may be used in this disclosed embodiment, including x86 (Intel) and ARM.

Multicore Accelerator Cores Not Limitive

The present invention anticipates a wide variety of multicore accelerator cores, including compute intensive, GPU (Graphics Processing Unit) neural network, packet processing, and other types, may be used in this disclosed embodiment. Examples of manufacturers of these cores include Intel, Texas Instruments, Nvidia, Freescale, ARM, and others.

General Concepts. Definitions. and Advantages

This present invention embodiment combines customized hardware (in the form of suitable low SWaP multicore accelerator expansion cards) that are configured into customized compute servers, including:

-   -   host operating system (such as Linux);     -   hypervisor (such as KVM, or Kernel based Virtual Machine);     -   data plane cores; and     -   a plurality of Virtual Machines (VMs) that run user         applications.

Definitions relating to this exemplary embodiment that will be understood by those skilled in the art include:

-   -   Data Plane Cores. Data plane cores run minimal software, without         a fully formed operating system, providing a low-level, very         fast interface to motherboard hardware components in the server         such as PCIe and network I/O.     -   Virtualization. Virtualization is the process of allowing         multiple “virtual machines” (VMs) to run on one physical         machine, sharing physical resources such as hard disk drive and         other storage, network input/output, screen display (monitor),         keyboard, mouse, etc., with each VM theoretically being unaware         of other VMs. However, due to performance penalties imposed by         the process of virtualization and resource sharing, VM users may         surmise they are being affected by other users.     -   Heterogeneous cores. The term “heterogeneous cores” refers to a         variable mix of core types used together inside the HPC server.         Such cores are fundamentally different (i) at the chip         (semiconductor) architecture level, and (ii) at the machine         instruction code level (represented to the programmers by the         chip's “native” assembly language). These fundamental         differences in chips (and thus all cores contained on a chip)         result in substantial differences in tool chains and utilities         to build executable programs (starting from source code created         by the programmer). In some cases, the programming model for         heterogeneous cores may also differ substantially.     -   Guest. Guest is synonymous with a Virtual Machine (VM). This         terminology arises from use of “host” and “guest”, where host         means the physical machine and its operating system running on         the server.     -   SWaP. SwAP means size, weight, and power consumption, and is         typically used in the context of constraints, or limitations         under which servers in the cloud computing or data center must         operate.     -   Pragma. A pragma is an element of source code that is “outside         the scope” of the native programming language. Typically pragmas         are used to mark “begin” and “end” of source code sections and         apply a desired action or attribute to the designated source         code section. The pragmas used by the present invention are         pre-processed by CIM software, and ignored by native compilers.     -   KVM. KVM means Kernel based Virtual Machine hypervisor that         supervises the virtual machines installed on the custom computer         server. The KVM hypervisor runs on the physical machine and is         aware of all server resource and component usage, at all levels,         and at all times. Note that in the case of Data Plane cores and         Accelerator cores, the KVM hypervisor is typically aware of the         presence and “amount”, or extent of these resources, but not of         internal operation inside these resources.     -   API. API means Application Programming Interface, and typically         refers to a series of function (or procedure) calls made         available, or “exposed”, to programmers by a software module         such as a library, driver, or other software component.

The present invention exemplary embodiment has an approach to HPC and supercomputing in cloud computing and data centers that provides several advantages, including:

-   -   Provides substantial performance increase for virtualized         servers and avoids performance penalties associated with         virtualization, a process that optimizes usage of servers         (allocation between users), and has become prevalent in cloud         computing and data centers to reduce equipment and operating         costs. Performance increases are realized for both compute         intensive processing and reduce latency with increased bandwidth         network input/output.     -   Accelerates a wide range of user software running inside Virtual         machines (VMs) that host a range of operating systems (such as         Linux, WINDOWS®, etc.).     -   Provides a simplified, easy-to-use programming interface.     -   Provides a uniform, consistent method of incorporating and         programming a range of heterogeneous CPU cores into standard,         off-the-shelf servers.     -   Reduces hardware costs and software licensing costs and usage         fees compared to expensive, dedicated supercomputing systems.     -   Remote devices need not have extensive computational and network         input/output resources in order to run complex, highly compute         intensive applications (such as face, voice, and location         recognition) and personal computational finance applications.         One skilled in the art will recognize that the above list of         advantages is only exemplary and non-exhaustive.

Ancillary Embodiment Description (0900)

Additional detail regarding operation of a preferred invention embodiment may be found by considering a video stream data flow in FIG. 9 (0900). In this exemplary system embodiment a custom computing server enhanced for HPC and Supercomputing applications (0910) hosts a plurality of VMs (0920), each running independent user applications with dedicated user display buffers (0924) (i.e. one display per user). The HPC server (0910), enhanced with a plurality of multicore accelerators (0930), and performing Background Acceleration as described herein, captures each VM display buffer video output (0924), encodes and compresses the display video content for efficient network transmission, and streams the compressed output to remote devices, allowing each VM user to view, control, and otherwise run their applications remotely. From a server efficiency perspective, the ability to host multiple users concurrently demonstrates the performance benefit of this invention embodiment.

In another preferred invention embodiment, additional detail may be found by considering a modification of the video stream data flow in FIG. 9 (0900). In this case video input streams are received from a plurality of remote devices (0971, 0972), and processed by one or more VMs (0920) executing image analytics and image processing algorithm programs, which are accelerated on the multicore accelerator (0930). Results such as face recognition or location recognition are then streamed back to remote device users. This invention embodiment demonstrates a great benefit to users of mobile devices, which lack sufficient computational resources and power sources to perform complex algorithms and processing required by artificial intelligence applications or image analytics.

System Description Detail (1000)-(1200)

The general invention concept may be better understood by inspecting the system overview block diagram depicted in FIG. 10 (1000). In this exemplary system embodiment, a custom host server (CHS) (1010) contains a plurality of virtual machines (VMs) (1020), a host Linux machine (1030), a plurality of data plane cores (1040), a KVM (Kernel based Virtual Machine) hypervisor (1050), and a VM-host shared file system (1060).

The host machines (1030) depicted in FIG. 10 (1000) are described in further detail in FIG. 11 (1100) and contain a plurality of multicore CPU accelerators (1131) connected via gigabit Ethernet (1132) and PCIE bus (1133), a DIRECTCORE® driver (1134), DIRECTCORE® API library (1135), and a control plane process (1136).

The virtual machines (1020) as depicted in FIG. 10 (1000) are further detailed in FIG. 12 (1200) and contain one or more applications (1221) such as the image analytics example (1221) shown in FIG. 12 (1200), and a DIRECTCORE® driver (1222) and DIRECTCORE® API library (1223).

The present invention allows numerous performance benefits to Virtual Machines (VMs) (1220), stemming from hardware enhancement of the custom server hardware using multicore accelerators (1131). The present invention provides two (2) types of acceleration for the VMs: (i) automated “VM Background Acceleration”, for example capture and streaming of VM screen (display) video output to remote devices, and (ii) “VM Foreground Acceleration”, by offloading specific program sections, expressed at the source code level such as (1225) and containing compute intensive functions (1226 thru 1229), to the multicore accelerator (1131).

VM Background Acceleration is accomplished by the following sequence:

-   -   The Control Plane process (1136) directly issues (1440) commands         and instructions to Data Plane cores (“Data Plane commands”).         Data Plane commands include (i) which VMs to operate on and         which multicore accelerator (1131) cores to associate with each         VM, (ii) what type of operations to perform, and (iii) memory         addresses to use for both VM memory areas and multicore         accelerator memory areas. In coordination with the Data Plane         commands it issues, the Control Plane process (1136) also issues         commands and instructions (“Control Plane commands” (1430) to         the multicore accelerator (1131), using DIRECTCORE® API calls         (1135) and the DIRECTCORE® PCIe Driver (1134). Control Plane         commands issued to the multicore accelerator (1131) include (i)         parameters for compute-intensive programming and high         performance, low latency network input/output, (ii) rate and         timing information required for real-time operation, and (iii)         information about remote device and computer endpoints (such as         their network address).     -   Data Plane cores (1040), running non-Linux, low-level software         and guided by commands issued by the Control Plane process         (1136), directly read (1410) data from memory areas of a         plurality of VMs, such data including but not limited to screen         (display) output, data base storage, and data analytics results.     -   Data Plane cores, using the DIRECTCORE® PCIe Driver (1135),         transfer VM data to the multicore accelerator (1131) for compute         intensive processing and network communication (1132).     -   The multicore accelerator (1131) performs compute intensive         processing and high performance, low-latency network         input/output (1132) to provide performance benefits to a         plurality of VMs. The multicore accelerator (i) follows commands         and instructions provided by the Control Plane process (1136) to         dynamically allocate a varying number of cores to each VM, (ii)         runs pre-defined executable programs, according to commands         issued by the Control Plane process, in order to perform compute         intensive processing on a plurality of CPU cores using a         self-contained real-time operating system, memory shared between         cores, memory specific to each core, and large amounts of         external memory available to each CPU, and (iii) uses its         self-contained network interface (1132), to transfer data         to/from remote devices and other computers addressable through         the public network (1070).

VM Foreground Acceleration occurs when a VM runs a program that has been annotated by the programmer to target certain sections of the program for acceleration, and is accomplished by the following sequence [ref VM Foreground Acceleration flowchart]:

-   -   A programmer uses CIM® pragmas (1225) to annotate source code         sections of the program for acceleration. Source code within         pragmas typically includes, but is not limited to, compute         intensive processing and network I/O communication.     -   The CIM software process (1240) automatically parses and         interprets programmer-inserted pragmas and generates independent         source code streams for program sections that should continue to         run on the VM and sections that should run outside the VM on the         multicore accelerator (1131), thus enjoying a performance         benefit and avoiding performance penalties incurred by the VM,         as noted above The CIM software process augments the generated         source code streams with required DIRECTCORE® API calls for data         transfer, shared memory, synchronization between program         sections, and load, initialization, and execution of all program         sections at run-time.     -   The CIM software process (1240) automatically “builds”         (compiles, assembles, and links) executables for the VM and for         the multicore accelerator (1131).     -   At run-time, VM executable programs use DIRECTCORE® API calls to         transfer data and commands through the DIRECTCORE® Data Plane         Driver (1222), Data Plane cores (1040), and DIRECTCORE® PCIe         Driver (1134), in order to communicate and synchronize with         multicore accelerator (1131) program sections as needed.     -   The multicore accelerator (1131) performs compute intensive         processing and high performance, low-latency network I/O (1132)         to provide performance benefits to a plurality of VMs. The         multicore accelerator (i) follows commands and instructions         issued by the Control Plane process (1136) to dynamically         allocate a varying number of cores to each VM, (ii) runs         pre-defined and previously built executable programs to perform         compute intensive processing on a plurality of CPU cores using a         self-contained real-time operating system, memory shared between         cores, memory specific to each core, and large amounts of         external memory available to each CPU, and (iii) uses its         self-contained network interface (1132), to transfer data         to/from remote devices and other computers addressable through         the public network (1070).     -   In addition to communication between VMs (1020) and the         multicore accelerator (1131), the Control Plane process (1136)         may also issue commands and instructions to the multicore         accelerator (1131) during run-time operation, using DIRECTCORE®         API calls (1135) and the DIRECTCORE® PCIe Driver (1134).

Control Plane commands issued to the multicore accelerator (1131) include, but are not limited to, (i) parameters for compute-intensive programming and high performance, low latency network input/output (1132), (ii) rate and timing information required for real-time operation, and (iii) information about remote device and computer endpoints (such as their network address). This information may be in addition to information communicated between VM executable programs and the multicore accelerator (1131).

For both Background Acceleration and Foreground Acceleration, the Control Plane process (1136) continuously monitors and gathers statistics about multicore accelerator (1131) core usage, network I/O usage, and memory usage, in order to efficiently determine VM-to-core mapping (cores on the multicore accelerator), optimize performance, and prevent “overbooking” situations when multiple VMs are accelerated.

Examples of Control Plane command applications include:

-   -   Signaling for telecom applications, sometimes referred to as         “session setup” and “session tear-down” (for         voice/speech/voice-over-IP applications, this is typically         referred to as “call setup” and “call tear-down”).     -   Command and control for distributed data analytics applications,         for instance applying the Hadoop algorithm to allow multicore         accelerator (1131) CPUs to operate as independent Hadoop         processing nodes.     -   Command control for remote desktop video streaming, for instance         level of compression, latency, video quality, and other         parameters affecting the remote user experience.

In a nominal off-the-shelf commodity server, with size of “1U” (about 1.8 inches height, 19-inch width, and 30-inch depth), up to eight (8) 64-core multicore accelerators (1131) can be installed, which would provide 512 compute intensive cores. This is in addition to a number of native cores allocated to the custom server host machine (1030) and virtual machines (1020). This configuration contrasts to a typical off-the-shelf server might contain from eight (8) to thirty-two (32) native cores, all of the same type, such as Intel x86 cores or ARM cores, in which an additional 512 compute intensive cores represents a substantial increase in cores. For off-the-shelf servers with sizes of “2U”, “3U”, “5U”, etc., even more multicore accelerators may be added, resulting in servers with more thousands of cores.

Multicore accelerators (1131) in the form of PCIe expansion cards may be configured to “drop in” to the PCIe expansion slots available in properly configured server backplanes. Various such cards may be configured using this design approach, containing compute intensive and other types of cores made by semiconductor manufacturers such as Intel, Nvidia, Texas Instruments, Octasic, Freescale, and others. It is desirable for the multicore accelerator to be of “single slot thickness” to economize on space usage, and operate without excessive power consumption, in order to avoid generating excessive heat which may affect the server manufacturer's warranty and mean-time-between-failure specifications.

Note that this approach to application virtualization in deployment is also efficient with respect to software installation and maintenance in that the HPC server (1010) acts as a central repository for all software to be deployed and run by remote mobile device users. Additionally licensing cost or usage fees for the software contained in the HPC server (1010) may be calculated based on number of simultaneous users rather than on a per server basis.

System Summary

The present invention system anticipates a wide variety of variations in the basic theme of construction, but can be generalized as a cloud computing system comprising:

-   -   (a) host computer system (HCS);     -   (b) mobile computing device (MCD); and     -   (c) computer communication network (CCN);

wherein

-   -   the HCS is configured to execute host operating system software         (HOS) machine instructions read from a computer readable medium;     -   the HOS further comprises virtualized graphical user interface         (VUI) device driver machine instructions read from a computer         readable medium;     -   the VUI is configured to virtualize the graphical user         experience (GEX) and user input experience (UEX) associated with         host application software (HAS) executed on the HCS;     -   the VUI is configured to translate the GEX into a remote video         stream (RVS);     -   the HCS is configured to transmit the RVS to the MCD over the         CCN;     -   the MCD further comprises a thin client application (TCA)         further comprising machine instructions implementing a graphics         experience mapper (GEM) and user experience mapper (UEM);     -   the GEM is configured to receive the RVS and present the RVS to         a display on the MCD;     -   the UEM is configured to accept user input data (UID) entered on         the MCD and translate the UID to an equivalent UEX protocol; and     -   the TCA is configured to transmit the equivalent UEX protocol to         the VUI for presentation to the HAS through the HCS.

This general system summary may be augmented by the various elements described herein to produce a wide variety of invention embodiments consistent with this overall design description.

Method Summary

The present invention method anticipates a wide variety of variations in the basic theme of implementation, but can be generalized as a CLOUD COMPUTING method wherein the method is performed on a CLOUD COMPUTING system comprising:

-   -   (a) host computer system (HCS);     -   (b) mobile computing device (MCD); and     -   (c) computer communication network (CCN);     -   wherein     -   the HCS is configured to execute host operating system software         (HOS) machine instructions read from a computer readable medium;     -   the HOS further comprises virtualized graphical user interface         (VUI) device driver machine instructions read from a computer         readable medium;     -   the VUI is configured to virtualize the graphical user         experience (GEX) and user input experience (UEX) associated with         host application software (HAS) executed on the HCS;     -   the VUI is configured to translate the GEX into a remote video         stream (RVS);     -   the HCS is configured to transmit the RVS to the MCD over the         CCN;

the MCD further comprises a thin client application (TCA) further comprising machine instructions implementing a graphics experience mapper (GEM) and user experience mapper (UEM);

-   -   the GEM is configured to receive the RVS and present the RVS to         a display on the MCD;     -   the UEM is configured to accept user input data (UID) entered on         the MCD and translate the UID to an equivalent UEX protocol; and     -   the TCA is configured to transmit the equivalent UEX protocol to         the VUI for presentation to the HAS through the HCS;     -   wherein the method comprises the steps of:     -   (1) with the HCS, virtualizing the display output for the HAS to         generate the GEX;     -   (2) with said HCS, converting said GEX to the RVS in real-time;     -   (3) with the HCS, transmitting the RVS to the MCD over the CCN;     -   (4) with the MCD, translating the RVS into a visual display         presented on the MCD;     -   (5) with the MCD, asynchronously obtaining the UID from the MCD;     -   (6) with the MCD, translating the UID into a compatible UEX         protocol;     -   (7) with the MCD, transmitting the translated UID to the VUI UEX         processor on the HCS; and     -   (8) with the HCS, emulating API message protocols for user input         devices on the HCS using the translated UID as the emulator         source input.

This general method summary may be augmented by the various elements described herein to produce a wide variety of invention embodiments consistent with this overall design description.

System/Method Variations

The present invention anticipates a wide variety of variations in the basic theme of construction. The examples presented previously do not represent the entire scope of possible usages. They are meant to cite a few of the almost limitless possibilities.

This basic system and method may be augmented with a variety of ancillary embodiments, including but not limited to:

-   -   An embodiment wherein the CCN comprises the Internet.     -   An embodiment wherein the HOS comprises a MICROSOFT® WINDOWS®         operating system.     -   An embodiment wherein the MCD is selected from a group         consisting of: smartphone; IPHONE®; cellular phone; computer         tablet; IPAD®; laptop; and desktop computer.     -   An embodiment wherein the VUI comprises machine instructions         implementing AMAZON® AppStream STX Protocol.     -   An embodiment wherein the RVS comprises a compressed video         communication (CVC) format selected from a group consisting of:         MPEG; MPEG-2; MPEG-4; H.264; THEORA; WEBM; DIRAC; REALVIDEO;         VP8; and HEVC.     -   An embodiment wherein the RVS comprises a compressed audio/video         communication (CVC) format selected from a group consisting of:         MPEG; MPEG-2; MPEG-4; H.264; THEORA; WEBM; DIRAC; REALVIDEO;         VP8; and HEVC.     -   An embodiment wherein the GEX is implemented as a virtual video         display device driver configured to translate user display         output from the HAS directly to the RVS.     -   An embodiment wherein the UEM is configured to translate hand         gestures entered as the UID into equivalent UEX protocols.     -   An embodiment wherein the UEM is configured to translate the UID         into equivalent UEX protocols that comprise mouse input         commands.

One skilled in the art will recognize that other embodiments are possible based on combinations of elements taught within the above invention description.

Generalized Computer Usable Medium

In various alternate embodiments, the present invention may be implemented as a computer program product for use with a computerized computing system. Those skilled in the art will readily appreciate that programs defining the functions defined by the present invention can be written in any appropriate programming language and delivered to a computer in many forms, including but not limited to: (a) information permanently stored on non-writeable storage media (e.g., read-only memory devices such as ROMs or CD-ROM disks); (b) information alterably stored on writeable storage media (e.g., hard disks and USB thumb drives); and/or (c) information conveyed to a computer through communication media, such as a local area network, a telephone network, or a public network such as the Internet. When carrying computer readable instructions that implement the present invention methods, such computer readable media represent alternate embodiments of the present invention.

As generally illustrated herein, the present invention system embodiments can incorporate a variety of computer readable media that comprise computer usable medium having computer readable code means embodied therein. One skilled in the art will recognize that the software associated with the various processes described herein can be embodied in a wide variety of computer accessible media from which the software is loaded and activated. Pursuant to In re Beauregard, 35 USPQ2d 1383 (U.S. Pat. No. 5,710,578), the present invention anticipates and includes this type of computer readable media within the scope of the invention. Pursuant to In re Nuijten, 500 F.3d 1346 (Fed. Cir. 2007) (U.S. patent application Ser. No. 09/211,928), the present invention scope is limited to computer readable media wherein the media is both tangible and non-transitory.

CONCLUSION

A system and method deploying cloud computing software applications and resources to mobile devices has been disclosed. The system/method virtualizes the graphical user experience (GEX) and user input experience (UEX) that comprise the graphical user interface (GUI) for host application software (HAS) running on a host computer system (HCS). The virtualized GUI (VUI) GEX component is converted to a remote video stream (RVS) and communicated to a remote mobile computing device (MCD) over a computer communication network (CCN). A MCD thin client application (TCA) receives the RVS and presents this GEX content on the MCD display using a graphics experience mapper (GEM). A TCA user experience mapper (UEM) translates MCD user inputs to a form suitable for UEX protocols and communicates this user input over the CCN to the HCS for translation by the UEX into HCS operating system protocols compatible with the HAS.

CLAIMS INTERPRETATION

The following rules apply when interpreting the CLAIMS of the present invention:

-   -   The CLAIM PREAMBLE should be considered as limiting the scope of         the claimed invention.     -   “WHEREIN” clauses should be considered as limiting the scope of         the claimed invention.     -   “WHEREBY” clauses should be considered as limiting the scope of         the claimed invention.     -   “ADAPTED TO” clauses should be considered as limiting the scope         of the claimed invention.     -   “ADAPTED FOR” clauses should be considered as limiting the scope         of the claimed invention.     -   The term “MEANS” specifically invokes the means-plus-function         claims limitation recited in 35 U.S.C. §112(f) and such claim         shall be construed to cover the corresponding structure,         material, or acts described in the specification and equivalents         thereof.     -   The phrase “MEANS FOR” specifically invokes the         means-plus-function claims limitation recited in 35 U.S.C.

§112(f) and such claim shall be construed to cover the corresponding structure, material, or acts described in the specification and equivalents thereof.

-   -   The phrase “STEP FOR” specifically invokes the         step-plus-function claims limitation recited in 35 U.S.C.

§112(f) and such claim shall be construed to cover the corresponding structure, material, or acts described in the specification and equivalents thereof.

-   -   The phrase “AND/OR” in the context of an expression “X and/or Y”         should be interpreted to define the set of “(X and Y)” in union         with the set “(X or Y)” as interpreted by Ex Parte Gross (USPTO         Patent Trial and Appeal Board, Appeal 2011-004811, Ser. No.         11/565,411, (“‘and/or’ covers embodiments having element A         alone, B alone, or elements A and B taken together”).     -   The claims presented herein are to be interpreted in light of         the specification and drawings presented herein with         sufficiently narrow scope such as to not preempt any abstract         idea.     -   The claims presented herein are to be interpreted in light of         the specification and drawings presented herein with         sufficiently narrow scope such as to not preclude every         application of any idea.     -   The claims presented herein are to be interpreted in light of         the specification and drawings presented herein with         sufficiently narrow scope such as to preclude any basic mental         process that could be performed entirely in the human mind.     -   The claims presented herein are to be interpreted in light of         the specification and drawings presented herein with         sufficiently narrow scope such as to preclude any process that         could be performed entirely by human manual effort.

Although a preferred embodiment of the present invention has been illustrated in the accompanying drawings and described in the foregoing Detailed Description, it will be understood that the invention is not limited to the embodiments disclosed, but is capable of numerous rearrangements, modifications, and substitutions without departing from the spirit of the invention as set forth and defined by the following claims. 

What is claimed is:
 1. A cloud computing system comprising: (a) host computer system (HCS); (b) mobile computing device (MCD); and (c) computer communication network (CCN); wherein said HCS is configured to execute host operating system software (HOS) machine instructions read from a computer readable storage; said HOS further comprises virtualized graphical user interface (VUI) device driver machine instructions read from a computer readable storage; said VUI is configured to virtualize the graphical user experience (GEX) and user input experience (UEX) associated with host application software (HAS) executed on said HCS; said VUI is configured to translate said GEX into a remote video stream (RVS); said HCS is configured to transmit said RVS to said MCD over said CCN; said MCD further comprises a thin client application (TCA) further comprising machine instructions implementing a graphics experience mapper (GEM) and user experience mapper (UEM); said GEM is configured to receive said RVS and present said RVS to a display on said MCD; said UEM is configured to accept user input data (UID) entered on said MCD and translate said UID to an equivalent UEX protocol; and said TCA is configured to transmit said equivalent UEX protocol to said VUI for presentation to said HAS through said HCS.
 2. The cloud computing system of claim 1 wherein said HCS comprises one or more multicore central processing units (CPU).
 3. The cloud computing system of claim 1 wherein said HOS comprises a LINUX operating system.
 4. The cloud computing system of claim 1 wherein said HOS comprises a MAC operating system.
 5. The cloud computing system of claim 1 wherein said HOS comprises a virtual machine hypervisor that supervises virtual machines installed on the HCS.
 6. The cloud computing system of claim 1 wherein said HCS comprises a multicore accelerator implementing virtual machine (VM) Background acceleration.
 7. The cloud computing system of claim 1 wherein said HCS comprises a multicore accelerator implementing virtual machine (VM) Foreground acceleration.
 8. The cloud computing system of claim 1 wherein said UEM is configured to translate keypad entries entered as said UID into equivalent UEX protocols.
 9. The cloud computing system of claim 1 wherein said UEM is configured to translate simulated keyboard screen inputs entered as said UID into equivalent UEX protocols.
 10. The cloud computing system of claim 1 wherein said UEM is configured to translate screen touches corresponding to mapped regions of video entered as said UID into equivalent UEX protocols.
 11. The cloud computing system of claim 1 wherein said UEM is configured to translate simulated mouse input entered as said UID into equivalent UEX protocols.
 12. The cloud computing system of claim 1 wherein said UEM is configured to translate simulated mouse movement entered as said UID into equivalent UEX protocols.
 13. The cloud computing system of claim 1 wherein said UEM is configured to translate simulated mouse clicks entered as said UID into equivalent UEX protocols.
 14. The cloud computing system of claim 1 wherein said UEM is configured to translate simulated mouse button activations entered as said UID into equivalent UEX protocols.
 15. The cloud computing system of claim 1 wherein said UEM is configured to translate cursor trajectory information entered as said UID into equivalent UEX protocols.
 16. The cloud computing system of claim 1 wherein said TCA comprises a user mouse simulator (UMS) configured to track simulated mouse trajectories on said MCD and to determine the arcuate trajectory of a MCD mouse movement and translate said arcuate trajectory to trajectory curve information that is transmitted to said UEX.
 17. The cloud computing system of claim 1 wherein said TCA is configured to interpret steganography information embedded within said RVS.
 18. The cloud computing system of claim 1 wherein said TCA is configured to map user gestures or other user input associated with the MCD to user-defined or pre-defined actions by said UEX virtualization component of said VUI.
 19. The cloud computing system of claim 1 wherein said TCA is configured to synchronize said GEM and UEM modules operating on said HCS to a consistent state of said GEX/UEX VUI virtualization context.
 20. The cloud computing system of claim 1 wherein said TCA comprises a video window control (VWC) that sets a viewport into said RVS presented on said MCD.
 21. A cloud computing method configured to operate on a cloud computing system comprising: (a) host computer system (HCS); (b) mobile computing device (MCD); and (c) computer communication network (CCN); wherein said HCS is configured to execute host operating system software (HOS) machine instructions read from a computer readable storage; said HOS further comprises virtualized graphical user interface (VUI) device driver machine instructions read from a computer readable storage; said VUI is configured to virtualize the graphical user experience (GEX) and user input experience (UEX) associated with host application software (HAS) executed on said HCS; said VUI is configured to translate said GEX into a remote video stream (RVS); said HCS is configured to transmit said RVS to said MCD over said CCN; said MCD further comprises a thin client application (TCA) further comprising machine instructions implementing a graphics experience mapper (GEM) and user experience mapper (UEM); said GEM is configured to receive said RVS and present said RVS to a display on said MCD; said UEM is configured to accept user input data (UID) entered on said MCD and translate said UID to an equivalent UEX protocol; and said TCA is configured to transmit said equivalent UEX protocol to said VUI for presentation to said HAS through said HCS; wherein said method comprises the steps of: (1) with said HCS, virtualizing the display output for said HAS to generate said GEX; (2) with said HCS, converting said GEX to said RVS in real-time; (3) with said HCS, transmitting said RVS to said MCD over said CCN; (4) with said MCD, translating said RVS into a visual display presented on said MCD; (5) with said MCD, asynchronously obtaining said UID from said MCD; (6) with said MCD, translating said UID into a compatible UEX protocol; (7) with said MCD, transmitting said translated UID to said VUI UEX processor on said HCS; and (8) with said HCS, emulating API message protocols for user input devices on said HCS using said translated UID as the emulator source input.
 22. The cloud computing method of claim 21 wherein said HCS comprises one or more multicore central processing units (CPU).
 23. The cloud computing method of claim 21 wherein said HOS comprises a LINUX operating method.
 24. The cloud computing method of claim 21 wherein said HOS comprises a MAC operating method.
 25. The cloud computing method of claim 21 wherein said HOS comprises a virtual machine hypervisor that supervises virtual machines installed on the HCS.
 26. The cloud computing method of claim 21 wherein said HCS comprises a multicore accelerator implementing virtual machine (VM) Background acceleration.
 27. The cloud computing method of claim 21 wherein said HCS comprises a multicore accelerator implementing virtual machine (VM) Foreground acceleration.
 28. The cloud computing method of claim 21 wherein said UEM is configured to translate keypad entries entered as said UID into equivalent UEX protocols.
 29. The cloud computing method of claim 21 wherein said UEM is configured to translate simulated keyboard screen inputs entered as said UID into equivalent UEX protocols.
 30. The cloud computing method of claim 21 wherein said UEM is configured to translate screen touches corresponding to mapped regions of video entered as said UID into equivalent UEX protocols.
 31. The cloud computing method of claim 21 wherein said UEM is configured to translate simulated mouse input entered as said UID into equivalent UEX protocols.
 32. The cloud computing method of claim 21 wherein said UEM is configured to translate simulated mouse movement entered as said UID into equivalent UEX protocols.
 33. The cloud computing method of claim 21 wherein said UEM is configured to translate simulated mouse clicks entered as said UID into equivalent UEX protocols.
 34. The cloud computing method of claim 21 wherein said UEM is configured to translate simulated mouse button activations entered as said UID into equivalent UEX protocols.
 35. The cloud computing method of claim 21 wherein said UEM is configured to translate cursor trajectory information entered as said UID into equivalent UEX protocols.
 36. The cloud computing method of claim 21 wherein said TCA comprises a user mouse simulator (UMS) configured to track simulated mouse trajectories on said MCD and to determine the arcuate trajectory of a MCD mouse movement and translate said arcuate trajectory to trajectory curve information that is transmitted to said UEX.
 37. The cloud computing method of claim 21 wherein said TCA is configured to interpret steganography information embedded within said RVS.
 38. The cloud computing method of claim 21 wherein said TCA is configured to map user gestures or other user input associated with the MCD to user-defined or pre-defined actions by said UEX virtualization component of said VUI.
 39. The cloud computing method of claim 21 wherein said TCA is configured to synchronize said GEM and UEM modules operating on said HCS to a consistent state of said GEX/UEX VUI virtualization context.
 40. The cloud computing method of claim 21 wherein said TCA comprises a video window control (VWC) that sets a viewport into said RVS presented on said MCD.
 41. A tangible non-transitory computer usable medium having computer-readable program code means comprising a cloud computing method configured to operate on cloud computing system comprising: (a) host computer system (HCS); (b) mobile computing device (MCD); and (c) computer communication network (CCN); wherein said HCS is configured to execute host operating system software (HOS) machine instructions read from a computer readable storage; said HOS further comprises virtualized graphical user interface (VUI) device driver machine instructions read from a computer readable storage; said VUI is configured to virtualize the graphical user experience (GEX) and user input experience (UEX) associated with host application software (HAS) executed on said HCS; said VUI is configured to translate said GEX into a remote video stream (RVS); said HCS is configured to transmit said RVS to said MCD over said CCN; said MCD further comprises a thin client application (TCA) further comprising machine instructions implementing a graphics experience mapper (GEM) and user experience mapper (UEM); said GEM is configured to receive said RVS and present said RVS to a display on said MCD; said UEM is configured to accept user input data (UID) entered on said MCD and translate said UID to an equivalent UEX protocol; and said TCA is configured to transmit said equivalent UEX protocol to said VUI for presentation to said HAS through said HCS; wherein said method comprises the steps of: (1) with said HCS, virtualizing the display output for said HAS to generate said GEX; (2) with said HCS, converting said GEX to said RVS in real-time; (3) with said HCS, transmitting said RVS to said MCD over said CCN; (4) with said MCD, translating said RVS into a visual display presented on said MCD; (5) with said MCD, asynchronously obtaining said UID from said MCD; (6) with said MCD, translating said UID into a compatible UEX protocol; (7) with said MCD, transmitting said translated UID to said VUI UEX processor on said HCS; and (8) with said HCS, emulating API message protocols for user input devices on said HCS using said translated UID as the emulator source input.
 42. The computer usable medium of claim 41 wherein said HCS comprises one or more multicore central processing units (CPU).
 43. The computer usable medium of claim 41 wherein said HOS comprises a LINUX operating method.
 44. The computer usable medium of claim 41 wherein said HOS comprises a MAC operating method.
 45. The computer usable medium of claim 41 wherein said HOS comprises a virtual machine hypervisor that supervises virtual machines installed on the HCS.
 46. The computer usable medium of claim 41 wherein said HCS comprises a multicore accelerator implementing virtual machine (VM) Background acceleration.
 47. The computer usable medium of claim 41 wherein said HCS comprises a multicore accelerator implementing virtual machine (VM) Foreground acceleration.
 48. The computer usable medium of claim 41 wherein said UEM is configured to translate keypad entries entered as said UID into equivalent UEX protocols.
 49. The computer usable medium of claim 41 wherein said UEM is configured to translate simulated keyboard screen inputs entered as said UID into equivalent UEX protocols.
 50. The computer usable medium of claim 41 wherein said UEM is configured to translate screen touches corresponding to mapped regions of video entered as said UID into equivalent UEX protocols.
 51. The computer usable medium of claim 41 wherein said UEM is configured to translate simulated mouse input entered as said UID into equivalent UEX protocols.
 52. The computer usable medium of claim 41 wherein said UEM is configured to translate simulated mouse movement entered as said UID into equivalent UEX protocols.
 53. The computer usable medium of claim 41 wherein said UEM is configured to translate simulated mouse clicks entered as said UID into equivalent UEX protocols.
 54. The computer usable medium of claim 41 wherein said UEM is configured to translate simulated mouse button activations entered as said UID into equivalent UEX protocols.
 55. The computer usable medium of claim 41 wherein said UEM is configured to translate cursor trajectory information entered as said UID into equivalent UEX protocols.
 56. The computer usable medium of claim 41 wherein said TCA comprises a user mouse simulator (UMS) configured to track simulated mouse trajectories on said MCD and to determine the arcuate trajectory of a MCD mouse movement and translate said arcuate trajectory to trajectory curve information that is transmitted to said UEX.
 57. The computer usable medium of claim 41 wherein said TCA is configured to interpret steganography information embedded within said RVS.
 58. The computer usable medium of claim 41 wherein said TCA is configured to map user gestures or other user input associated with the MCD to user-defined or pre-defined actions by said UEX virtualization component of said VUI.
 59. The computer usable medium of claim 41 wherein said TCA is configured to synchronize said GEM and UEM modules operating on said HCS to a consistent state of said GEX/UEX VUI virtualization context.
 60. The computer usable medium of claim 41 wherein said TCA comprises a video window control (VWC) that sets a viewport into said RVS presented on said MCD. 